scispace - formally typeset
Open AccessJournal ArticleDOI

Big Data and Management

Reads0
Chats0
TLDR
The authors reflect on management of big data by organizations and comment on service level agreements (SLA) which define the nature and quality of information technology services and mention big data-sharing agreements tend to be poorly structured and informal.
Abstract
The authors reflect on management of big data by organizations. They comment on service level agreements (SLA) which define the nature and quality of information technology services and mention big data-sharing agreements tend to be poorly structured and informal. They reflect on the methodologies of analyzing big data and state it is easy to get false correlations when using typical statistical tools in analyzing big data. They talk about the use of big data in management and behavior research.

read more

Citations
More filters
Journal ArticleDOI

Data Matters: A Strategic Action Framework for Data Governance

TL;DR: In this article , a case study of a Chinese gold mining company, namely Shandong Gold, is presented to explain how firms configure data governance activities and conduct related strategic actions.
Journal ArticleDOI

Proposing a missing data method for hospitality research on online customer reviews: An application of imputation approach

TL;DR: The findings show that the text sentiment-based propensity score can effectively explain the missingness of sub-ratings on hotel attributes, and the imputation method considering those propensity scores has better estimation results than the other techniques as in the simulation analysis.
Book ChapterDOI

A Model for Evaluating Big Data Analytics Tools for Organisation Purposes

TL;DR: A model was developed which can be used as a building block through which evaluation of big data analytics tools in an organisation is carried out and the role of criteria, business and IT alignment, governance, and skill-sets were revealed as critical factors.
Journal ArticleDOI

A novel mechanism for business analytics value creation: improvement of knowledge-intensive business processes

TL;DR: In this article, the authors focus on the "how" of business analytics (BA) value creation, which remains an open research problem and a practical challenge, and propose a novel BA value creation mechanism that is BA-enabled improvement of knowledge-intensive business processes (KIBPs), with experiential knowledge of decision makers as the key to a more sustainable BAenabled competitive differentiation.
References
More filters
Book

Big data: The next frontier for innovation, competition, and productivity

James Manyika
TL;DR: The amount of data in the authors' world has been exploding, and analyzing large data sets will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus, according to research by MGI and McKinsey.
Book

Consilience: The Unity of Knowledge

TL;DR: One of the world's greatest living scientists argues for the fundamental unity of all knowledge and the need to search for consilience, the composition of the principles governing every branch of learning.
Journal ArticleDOI

Getting Counted: Markets, Media, and Reality:

TL;DR: In this paper, the authors show that early entrants benefit from inviting coverage that makes a few-but not too many-links to other entrants, thus helping audiences perceive an emerging category.
Proceedings ArticleDOI

Understanding the value of (big) data

TL;DR: A simple taxonomy is introduced, rights to access are discussed and the case of big data as a common pool resource is analyzed.
Related Papers (5)